Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113F130B14200087F57C3FB85E5D1BF5A1262C6D9D60E2D9C63B86A1C1ED2FA1D8D8BE4 |
|
CONTENT
ssdeep
|
96:jqS3uWePwlthUNw4q2m+FCPeX0uoyyZZN3oSGJEb6S7/sukkaW6OmsEbsS7kal6+:jH37ePwlew4IfoeNU56TUmy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3dc2c2c5cec2c2 |
|
VISUAL
aHash
|
8f8f8f8bbfffffff |
|
VISUAL
dHash
|
3b3a383233893000 |
|
VISUAL
wHash
|
0103010180c0f3f3 |
|
VISUAL
colorHash
|
07401010000 |
|
VISUAL
cropResistant
|
3b3a383233893000,b49ca4ac8ca49c9c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 7 techniques to evade detection by security scanners and make reverse engineering more difficult.